Senior ML Engineer

Location: We operate a flexible, hybrid working environment with the candidate required to travel to either our Winchester or London office once or twice a week.

We offer

* Up to £80K base salary

* 10% Bonus

* 6% pension contribution

* Private Medical

* 25 days annual leave

* Access to our comprehensive flexible benefits including discounts on big brands, wellness and employee assistance programmes, gymflex, buy and sell annual leave, travel and dental insurance

* Work. Life. Smarter. Our commitment to a flexible and hybrid working culture

As a Senior ML Engineer, you will be responsible for:
• Developing, deploying, and maintaining machine learning models and pipelines using Python, AWS, Databricks and MLOps tools.
• Collaborating with data analysts, data engineers, product owners and business stakeholders to understand the requirements and objectives of various machine learning projects.
• Applying best practices and standards for machine learning development, testing, monitoring and documentation.
• Performing exploratory data analysis, feature engineering, model selection, hyperparameter tuning and evaluation.
• Troubleshooting and resolving issues related to data quality, model performance and scalability.
• Researching and staying updated on the latest trends and technologies in machine learning and data engineering.

To be successful in this role, you should have:
• A bachelor’s degree or higher in computer science, engineering, mathematics, statistics or a related field.
• At least 5 years of experience in machine learning and data engineering, preferably in a cloud environment.
• Proficiency in Python and its popular libraries such as pandas, NumPy, scikit-learn, TensorFlow, pytorch, etc.
• Experience in using AWS services such as S3, EC2, Lambda, Sagemaker, Glue, etc.
• Experience in using Databricks and MLOps tools such as MLflow, Airflow, Kubeflow, etc.
• Experience in building end-to-end machine learning pipelines, from data ingestion and processing to model deployment and monitoring.
• Experience in working with structured and unstructured data, such as text, images, audio, video, etc.
• Experience in applying machine learning techniques such as supervised, unsupervised and reinforcement learning, as well as deep learning, natural language processing, computer vision, etc.
• Experience in using SQL and NoSQL databases, such as PostgreSQL, DynamoDB, etc.
• Experience in using version control and collaboration tools, such as GitHub, Jira, etc.
• Excellent communication and presentation skills, both verbal and written.
• A strong analytical and problem-solving mindset, with a passion for learning and innovation.

Why join Arqiva? We are the undisputed leader in UK TV and radio broadcast, and the UK’s leading Smart utilities platform. This means we have a strong heritage and foundation for future growth for you to grow your career with us.

Our journey is to transition global media distribution to cloud solutions, where we aim to double our revenue and continue to grow by being an innovator of scalable solutions for new connectivity sectors. We have opportunities in new technology applications and products, you will have opportunities to learn and develop with us.

Your wellbeing…. Our wellbeing mission is to help our people to be the best version of themselves at work and still have the time and energy to live a full life outside of work.

Our focus for 2024 is to Win, Grow, Go Faster – find out more, contact us and apply!

Inclusive Arqiva ….Our networks include our Diversity Ambassadors, Eldercare, Spectrum, Working Families, Pride, Veterans and Inspiring Women – join and contribute to our active networks